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Proposed article: Pivoting template

A pivoting template is a kind of edge template that guarantees that the template's owner can either connect the template's stone(s) to the edge, or else can occupy a specified empty hex and connect it to the edge.

More precisely, a pivoting template is a pattern that has a stone A and an empty hex B, such that the template's owner can continuously threaten to connect A to the edge until the point where the template's owner either connects A to the edge or occupies B and connects B to the edge. To be considered a "template", its carrier should moreover be minimal with this property.


The following is a pivoting template.


Proof: Red's main threat is to bridge to c and connect to the edge by ziggurat or edge template III1b. Therefore, to prevent Red from connecting to the edge outright, Blue must play in one of the cells a,...,g.


If Blue plays at a, Red responds at b and connects outright by edge template IV1a.

If Blue plays at b, Red responds with a 3rd row ladder escape fork:


If Blue plays at c, d, or f, Red responds as follows and is connected by edge template V2f. If Blue plays on the right instead of 3, Red responds as if defending template V2f.


If Blue plays at e or g, Red responds at c and gets a 2nd or 3rd row ladder, which can reach B by ladder escape fork.


Pivoting templates can be useful in many situations, but are especially useful in connection with flanks.

[Todo: Add an example.]

More examples


Weak pivoting templates

There is another notion similar to a pivoting template, but slightly weaker. In a weak pivoting template, we merely require that the template's owner can guarantee to either connect A to the edge or occupy B and connect B to the edge, but we drop the requirement that the owner can "continuously threaten to connect A to the edge until" that point. Typically this means that after the player occupies B, the opponent can still choose whether to let the player connect A or B to the edge.

The following are examples is weak pivoting templates:


Weak pivoting templates are sufficient to form a connection when combined with a flank. However, there are some contexts where a proper pivoting template would connect, but a weak pivoting template does not. The following is an example of this:


The highlighted area is a weak pivoting template, but with Blue to move, the position is losing for Red. On the other hand, if we use a proper pivoting template in the analogous situation, the position is winning for Red:


See also

Proposed article: Mustplay region

Informally, a mustplay region for a player is a set of cells in which the player must move to avoid losing immediately. Mustplay analysis is an important tool for analyzing Hex positions, because it can help narrow down the number of possibilities a player must consider.


Consider the following position, with Blue to move:


To determine Blue's mustplay region, Blue should consider the possible ways in which Red could make a connection if it were Red's turn. These are called Red's threats. Red has (at least) the following threats:

  • If Red plays at e5, then Red is connected via two copies of edge template II and two bridges, as shown:
  • Alternatively, if Red plays at e5, Red is also connected via edge template II and edge template III2e, as shown:
    While the last two connections both use a Blue stone at e5, they have different carriers.
  • If Red plays at d5, Red is connected via a 3rd row ladder, using f6 as a ladder escape. In this case, the carrier consists of the path the ladder will take and the space required for the ladder escape:

Blue's mustplay region consists of those empty cells that are in the carriers of all of Red's known threats. Therefore, Blue's mustplay region consists of the cells d1, e1, e5, e6, e7, and f7.


Note that this does not mean that all of d1, e1, e5, e6, e7, and f7 are winning moves for Blue, or even that Blue has any winning moves at all. Rather, what it means is that all other moves are losing. In other words, if Blue has any winning moves at all, they must be in Blue's mustplay region. Blue must now consider each of the six moves d1, e1, e5, e6, e7, and f7 and check if any of them are winning, or barring that, which one of them is least likely to be losing.

To help narrow down Blue's choices even further, it helps to consider captured and dominated cells. In the above example, d1, e1, e7, and f7 are captured by Red, and therefore, Blue should not play there. This leaves Blue with e5 and e6 as the only possible moves to consider. It so happens that e5 is winning and e6 is losing. Therefore, considering the mustplay region has helped Blue identify the only possible winning move. Blue will play e5 and win the game.


From the point of view of a player, a threat is a virtual connection between the opponent's board edges that the opponent can create in a single move. The carrier of the threat is the set of cells (empty or not) that are required for the virtual connection to be valid. The player's mustplay region is determined as follows:

  • Identify as many threats as possible.
  • Determine the intersection of the carriers of all of these threats.
  • With respect to the chosen set of threats, the mustplay region is the set of empty cells in that intersection.


  • All moves outside a player's mustplay region are losing. Moves within the mustplay region may be winning or losing.
  • If a player's mustplay region is empty, the player is losing.
  • If there are no winning moves in a player's mustplay region, the player is losing.
  • The mustplay region is not unique. By considering more opponent threats, a player may arrive at a smaller mustplay region.

Example: no winning move

If there are no winning moves in a player's mustplay region, the player is losing. To illustrate this, consider the following position, with Blue to move.


Red's main threats are:

The only empty cell in the carrier of all three threats is b5, hence Blue's mustplay region consists of b5. This means that all moves except possibly b5 are losing for Blue.


Unfortunately for Blue, b5 is also losing, because if Blue plays b5, Red can win as follows:


Therefore Blue has no winning moves at all and is losing the game.



Consider the following situation, with Blue to move:


Red's main threats are:

Therefore, Blue's mustplay region consists of the following 5 cells:


Of these, y, z, u, and v are losing: if Blue plays there, Red wins by responding at x. Blue's unique winning move is x. This move is also known as a foiling move, because it takes away Red's template and Red's ladder escape at the same time.

Solving Hex puzzles

Consider the following puzzle, due to Eric Demer. Blue to move and win.


At first, the situation seems confusing here. Blue's central stones neither seem to have a convincing connection to the left edge nor to the right one.

Mustplay analysis helps clarify the situation. First, let's note that Red's e3 and g3 are already very strongly conneced to the bottom edge; Blue cannot gain anything by intruding into that connection. (In fact, Red has captured rows 1–3). We therefore concentrate on the bottom part of the board. Within that region, Red's main threats are:

We therefore see that Blue's mustplay region consists of the following six cells:


Of these, x, y, u, v, and w are losing: if Blue plays there, Red can respond at z, re-establishing both threats. The unique winning move for Blue is z. In fact, this is basically a foiling move.

Verification of templates

Mustplay analysis is also useful in the verification of templates. In that context, it is sometimes known as template reduction. For example, consider edge template V1a:

To show that the template is valid, we must show that Blue has no way of disconnecting the template's red stone from the edge. We use mustplay analysis to reduce the number of possiblities. Red's main threats are:

Therefore, Blue's mustplay region consists of only three cells:

To finish verifying the template, it then remains to show that each of these three moves are losing for Blue. See the article on edge template V1a for the details.

Computer Hex

Mustplay analysis is used in computer Hex to reduce the number of possibilities that must be considered for a player's next move. This drastically reduces the size of the search tree.


Hayward, Björnsson, Johanson, Kan, Po, and van Rijswijck: "Solving 7x7 Hex with domination, fill-in, and virtual connections", Theoretical Computer Science 349;123–139, 2005.

Hayward: "A puzzling Hex primer". In Games of No Chance 3, Cambridge University Press, 56:151–162, 2009.